{"id":183381,"date":"2026-09-17T16:54:32","date_gmt":"2026-09-17T14:54:32","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/nvidia-predstavila-cuda-rust-dlya-razrabotki-gpu-yader-na-yazyke-rust"},"modified":"2026-09-17T16:54:36","modified_gmt":"2026-09-17T14:54:36","slug":"nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pl\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","title":{"rendered":"NVIDIA zaprezentowa\u0142a CUDA Rust do tworzenia j\u0105der GPU w j\u0119zyku Rust","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Firma NVIDIA og\u0142osi\u0142a rozw\u00f3j zestawu narz\u0119dzi CUDA Rust, kt\u00f3ry umo\u017cliwia wykorzystanie j\u0119zyka Rust do tworzenia j\u0105der wykonywanych po stronie GPU. Narz\u0119dzie zapewnia bezpiecze\u0144stwo pracy z pami\u0119ci\u0105 na etapie kompilacji i zapobiega wyst\u0119powaniu warunk\u00f3w wy\u015bcigu. W przysz\u0142ym roku CUDA Rust ma osi\u0105gn\u0105\u0107 poziom gotowo\u015bci do tworzenia projekt\u00f3w produkcyjnych, por\u00f3wnywalny z zestawami narz\u0119dzi CUDA C++ i CUDA Python. <\/p>\n

Narz\u0119dzia CUDA Rust obs\u0142uguj\u0105 dwa modele rozwoju r\u00f3wnolegle dzia\u0142aj\u0105cych rdzeni \u2014 SIMT (Single Instruction, Multiple Threads) oraz Tile. Model SIMT pozwala na niskim poziomie okre\u015bla\u0107 logik\u0119 jednego w\u0105tku, uruchamia\u0107 tysi\u0105ce takich w\u0105tk\u00f3w oraz nimi zarz\u0105dza\u0107. Model Tile oferuje wy\u017cszy poziom abstrakcji, w kt\u00f3rym zamiast jawnego zarz\u0105dzania poszczeg\u00f3lnymi w\u0105tkami definiowane s\u0105 algorytmy dzia\u0142a\u0144 na blokach danych (tile), a wszystkie manipulacje na w\u0105tkach, synchronizacj\u0119 dost\u0119pu, zarz\u0105dzanie pami\u0119ci\u0105 oraz rozdzielanie danych pomi\u0119dzy rdzeniami tensorowymi przejmuje kompilator Tile IR. <\/p>\n

Do programowania w j\u0119zyku Rust z wykorzystaniem modelu SIMT rozwijany jest kompilator cuda-oxide, kt\u00f3ry pozwala kompilowa\u0107 kod w j\u0119zyku Rust, korzystaj\u0105cy ze standardowego systemu typ\u00f3w i modelu w\u0142asno\u015bci Rust, bezpo\u015brednio do instrukcji wykonywanych w maszynie wirtualnej<\/a> CUDA PTX (Parallel Thread Execution). J\u0105dra dla GPU s\u0105 tworzone w standardowym Rust, ale dzia\u0142aj\u0105 w \u015brodowisku no_std i mog\u0105 korzysta\u0107 wy\u0142\u0105cznie z funkcji z biblioteki libcore oraz wyspecjalizowanych abstrakcji Rust, bez dost\u0119pu do standardowej biblioteki Rust (libstd). <\/p>\n

W j\u0105drach CUDA tworzonych w Rust dopuszcza si\u0119 stosowanie zabezpiecze\u0144 przez system typ\u00f3w (safe), u\u017cycie blok\u00f3w unsafe oraz odwo\u0142ania do niskopoziomowych instrukcji sprz\u0119towych. W celu zapewnienia bezpiecze\u0144stwa proponowany jest typ DisjointSlice, kt\u00f3ry gwarantuje, \u017ce ka\u017cdy w\u0105tek otrzymuje wy\u0142\u0105czny dost\u0119p wy\u0142\u0105cznie do w\u0142asnych danych. Kod cuda-oxide jest rozpowszechniany na licencji Apache 2.0. <\/p>\n

Do wdro\u017cenia modelu Tail proponowana jest biblioteka cutile-rs, kt\u00f3ra umo\u017cliwia u\u017cycie idiomatycznego j\u0119zyka Rust do tworzenia kodu kompilowanego bezpo\u015brednio do j\u0105der CUDA. Cutile-rs przenosi oferowane przez Rust rygorystyczne zasady w\u0142asno\u015bci i po\u017cyczania na kod wykonywany na GPU. J\u0105dro jest definiowane jako jednow\u0105tkowy program pracuj\u0105cy na bloku danych, a kompilator sam dzieli obliczenia na w\u0105tki i zapewnia ich synchronizacj\u0119. W\u0105tki otrzymuj\u0105 wsp\u00f3\u0142dzielony dost\u0119p do niezmiennych tensor\u00f3w, natomiast do bezpiecznego dost\u0119pu do modyfikowalnych tensor\u00f3w stosowany jest ich podzia\u0142 na nieprzecinaj\u0105ce si\u0119 bloki. Kod cutile-rs jest udost\u0119pniany na licencji Apache 2.0.
\n
\u0179r\u00f3d\u0142o: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f NVIDIA \u043e\u0431\u044a\u044f\u0432\u0438\u043b\u0430 \u043e \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f CUDA Rust, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044f\u0437\u044b\u043a Rust \u0434\u043b\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u044f\u0434\u0435\u0440, \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0445 \u043d\u0430 \u0441\u0442\u043e\u0440\u043e\u043d\u0435 GPU. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u043f\u0430\u043c\u044f\u0442\u044c\u044e \u043d\u0430 \u044d\u0442\u0430\u043f\u0435 \u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0446\u0438\u0438 \u0438 \u043f\u0440\u0435\u0434\u043e\u0442\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0432\u043e\u0437\u043d\u0438\u043a\u043d\u043e\u0432\u0435\u043d\u0438\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0439 \u0433\u043e\u043d\u043a\u0438. \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u0433\u043e\u0434\u0443 CUDA Rust \u043f\u043b\u0430\u043d\u0438\u0440\u0443\u044e\u0442 \u0434\u043e\u0432\u0435\u0441\u0442\u0438 \u0434\u043e \u0443\u0440\u043e\u0432\u043d\u044f, \u043f\u0440\u0438\u0433\u043e\u0434\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0440\u0430\u0431\u043e\u0447\u0438\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432, \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u043e\u0433\u043e \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f\u043c CUDA C++ \u0438 CUDA Python. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-183381","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47NVIDIA zaprezentowa\u0142a CUDA Rust do tworzenia j\u0105der GPU w j\u0119zyku Rust | ProHoster","description":"Firma NVIDIA og\u0142osi\u0142a rozw\u00f3j zestawu narz\u0119dzi CUDA Rust, kt\u00f3ry pozwala u\u017cywa\u0107 j\u0119zyka Rust do tworzenia j\u0105der wykonywanych po stronie GPU.","canonical_url":"https:\/\/prohoster.info\/pl\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"pl_PL","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47NVIDIA \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 CUDA Rust \u0434\u043b\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 GPU-\u044f\u0434\u0435\u0440 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Rust | ProHoster","og:description":"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f NVIDIA \u043e\u0431\u044a\u044f\u0432\u0438\u043b\u0430 \u043e \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f CUDA Rust, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044f\u0437\u044b\u043a Rust \u0434\u043b\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u044f\u0434\u0435\u0440, \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0445 \u043d\u0430 \u0441\u0442\u043e\u0440\u043e\u043d\u0435 GPU.","og:url":"https:\/\/prohoster.info\/pl\/blog\/news\/nvidia-introduces-cuda-rust-for-developing-gpu-kernels-in-rust","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2026-09-17T14:54:32+00:00","article:modified_time":"2026-09-17T14:54:36+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"183381","title":null,"description":null,"keywords":null,"keyphrases":{"focus":[],"additional":[]},"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":"default","schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":null,"breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2026-09-22 16:21:00","updated":"2026-09-22 16:21:00","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/posts\/183381","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/comments?post=183381"}],"version-history":[{"count":1,"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/posts\/183381\/revisions"}],"predecessor-version":[{"id":183382,"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/posts\/183381\/revisions\/183382"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/media?parent=183381"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/categories?post=183381"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/pl\/wp-json\/wp\/v2\/tags?post=183381"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}